AI Model For Identifying Prognostic Factors In Non-Small Cell Lung Cancer

Ente: Italian Ministry of Education, University and Research

Scadenza: 2026-07-20

Paese: IT

Descrizione

Lung cancer is a heterogeneous disease and presents several key descriptors for determining prognosis, such as lymphovascular invasion or spread through air spaces (STAS). The latter is a relatively recent finding but has a significant impact on patient prognosis.

Settori: Medical sciences

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